In this podcast, the Radio Free HPC team sits down with Mark Fernandez from HPE to discuss the Spaceborne Supercomputer that it currently orbiting the planet in the International Space Station. “Last week, HPE announced it is opening high-performance computing capabilities to astronauts on the International Space Station (ISS) as part of its continued experiments on the Spaceborne Computer project.”

In this special guest feature, Dr. Eng Lim Goh from HPE shares the endless possibilities of supercomputing and AI, and the challenges that stand in the way. “Can AI systems continue to learn and evolve based on historical data, and then predict – with breakneck speed – the exact time to buy or sell stocks? Of course they can – and with precision that comes close to replicating other predictive models, and usually in a fraction of the time.”

In this video from SC17 in Denver, Dr. Eng Lim Goh describes the spaceborne supercomputer that HPE built for NASA. “The research objectives of the Spaceborne Computer include a year-long experiment of operating high performance commercial off-the-shelf (COTS) computer systems on the ISS with its changing radiation climate. During high radiation events, the electrical power consumption and, therefore, the operating speeds of the computer systems are lowered in an attempt to determine if such systems can still operate correctly.”

In this TechNative Podcast, Mark Fernandez from HPE describes the company’s collaboration with NASA to send a supercomputer into orbit. ““By NASA’s rules, not just any computer can go into space. Their components must be radiation hardened, especially the CPUs,” reports HPE Insights. “Otherwise, they tend to fail due to the effects of ionizing radiation.”

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Industry Perspectives

At SC18 in Dallas, I had a chance to catch up with Gary Grider from LANL. “So we’re forming a consortium to chase efficient computing. We see many of the HPC sites today seem to be headed down the path of buying machines that work really well with very dense linear algebra problems. The problem is: hardcore simulation can often not be a great fit on machines built for high Linpack numbers.” [READ MORE…]

White Papers

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